Subject description - A0M37MOT

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A0M37MOT Advanced areas in image and video technology Extent of teaching:2+2L
Guarantors:  Roles:V Language of
Teachers:  Completion:KZ
Responsible Department:13137 Credits:5 Semester:L


This course presents the state-of-the-art techniques for digital image and video technology. These techniques and their applications cover almost all areas of technical professions dealing with human interaction. The content of lectures is being updated rapidly and continuously according to a remarkable progress in this field. The course deals with the principal functional blocks of mentioned systems both hardware and software implemented.

Study targets:

Students acquire knowledge in advanced methods and technology in imaging, including image acquisition, reproduction, processing and optical methods for image processing.

Course outlines:

1. Introduction, development of image and video technology
2. Problems of real image gathering systems (CCD, CMOS)
3. Digital photography - functional blocks, image processing
4. Imaging systems of cameras and projectors
5. Advanced image compression techniques
6. Advanced image reconstruction techniques
7. Advanced video recording and postproduction techniques
8. Special image reproduction systems, 3D imaging
9. High Definition TV systems (HDTV, UHDTV)
10. Lighting and flash systems - types, characteristics
11. Advanced digital printing techniques, color management
12. Presentation and projection technology
13. Security and surveillance systems
14. Image technology in astronomy and biomedicine

Exercises outline:

1. Introduction, seminar on laboratory measurements
2. Measurement of camera noise parameters
3. Measurement on security camera system
4. Measurement of resolution of objective lens
5. Measurement in photography studio, characteristics of lighting system
6. Measurement of colorimetric parameters and color management
7. Processing of color images and video in Matlab
8. Implementation of advanced image reconstruction techniques
9. Controlling video camera from Matlab programming environment
10. Evaluation of resolution of objective lens
11. Calculation of correlated color temperature of light sources
12. Lossy compression techniques of image and video
13. Movement detection in video sequences
14. Assessment, project evaluation


[1] Gonzales, R. C. Digital image processing, Upper Saddle River : Pearson, 2002.
[2] Bovik, A. Handbook of Image and Video Processing, Elsevier Academic Press, New York, 2005.





Image technology, video signal processing

Subject is included into these academic programs:

Program Branch Role Recommended semester
MPBIO1 Biomedical Informatics V
MPBIO2 Biomedical Engineering V
MPIB Common courses V
MPKME1 Wireless Communication V
MPKME5 Systems of Communication V
MPKME4 Networks of Electronic Communication V
MPKME3 Electronics V
MPKME2 Multimedia Technology V
MPEEM1 Technological Systems V
MPEEM5 Economy and Management of Electrical Engineering V
MPEEM4 Economy and Management of Power Engineering V
MPEEM3 Electrical Power Engineering V
MPEEM2 Electrical Machines, Apparatus and Drives V
MPKYR4 Aerospace Systems V
MPKYR1 Robotics V
MPKYR3 Systems and Control V
MPKYR2 Sensors and Instrumentation V

Page updated 20.6.2019 15:53:00, semester: Z,L/2020-1, L/2018-9, Z,L/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)